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Data Management Plans
Tropical Legumes-III
(4th March, 2016)
Abhishek Rathore (Senior Scientist)
Statistics, Bioinformatics & Data Management Unit
ICRISAT, Patancheru
a.rathore@cgiar.org
TL III Annual Meeting
Livingstone, Zambia
Data Management Pipeline
Data Archiving & Sharing
Valid Interpretation & Publication of Results
Statistical Modelling & Data Analysis
Data Curation Process
Data Captured and Stored Centrally
Data Capture Protocols / Crop Ontologies / Scales
Field/Lab Books (Electronic)
Designing of Experiment
Project Planning Meeting
TL-III Data Management
Progress (Aug 2015 to Now)
– Partners Trained in BMS
• EIAR, Debre Zeit, Ethiopia (19th-23rd, Oct 2015)
– Credentials created
• Dr. Omari Mponda & Colleages
– 18 Data Sets / Field Books
• Dr. Babu Motagi and Colleagues
– 9 data sets
– Cloud Based BMS
– Similar to email account
– Access Data Anywhere
– Automatic backup
– Data Repositories
• Dataverse
• aWhere
TL-III Data Management Support
Planned
– Experimental designs generated in BMS
cloud account for partners (where required,
but communicated)
– Partners will be able to download
• Experimental design
• Field books and field maps
– Collect & upload data in BMS cloud
– Support on pedigree migration to BMS
– Data collected with geospatial tags
– Field photographs
– Weather data if available
TL-III Data Management Support
Proposed for 2016
Based on Resources available
– Annual Data Analysis Workshops
• With annual/regional meetings
• Ensure all data analyzed in time & reported
• Available for reporting and M&E
– Other generated data sets
• Farmers Participatory Variety Selection (FPVS)
• SNP etc. will be maintained in respective
customized repositories
TL-III Data Management Support
Available to Project Partners
–Experimental Designing
–Data Capture and BMS
–Data Curation
–Data Analysis
• Phenotypic (GxE, Spatial etc)
• Genotypic (GWAS, GS, Molecular
Diversity etc)
• Any other relevant to project
–Help in Interpretation
TL-III Data Management
Socio-economic Data
– Once data is made available
– Questionnaire will be mapped to a
spatial data base (aWhere or ARCWeb
GIS)
– Collected data will be cleaned &
maintained at Dataverse
Seed System?
ICRISAT is a member of the CGIAR Consortium

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Data Management_TL III Annual Meet

  • 1. Data Management Plans Tropical Legumes-III (4th March, 2016) Abhishek Rathore (Senior Scientist) Statistics, Bioinformatics & Data Management Unit ICRISAT, Patancheru a.rathore@cgiar.org TL III Annual Meeting Livingstone, Zambia
  • 2. Data Management Pipeline Data Archiving & Sharing Valid Interpretation & Publication of Results Statistical Modelling & Data Analysis Data Curation Process Data Captured and Stored Centrally Data Capture Protocols / Crop Ontologies / Scales Field/Lab Books (Electronic) Designing of Experiment Project Planning Meeting
  • 3. TL-III Data Management Progress (Aug 2015 to Now) – Partners Trained in BMS • EIAR, Debre Zeit, Ethiopia (19th-23rd, Oct 2015) – Credentials created • Dr. Omari Mponda & Colleages – 18 Data Sets / Field Books • Dr. Babu Motagi and Colleagues – 9 data sets – Cloud Based BMS – Similar to email account – Access Data Anywhere – Automatic backup – Data Repositories • Dataverse • aWhere
  • 4. TL-III Data Management Support Planned – Experimental designs generated in BMS cloud account for partners (where required, but communicated) – Partners will be able to download • Experimental design • Field books and field maps – Collect & upload data in BMS cloud – Support on pedigree migration to BMS – Data collected with geospatial tags – Field photographs – Weather data if available
  • 5. TL-III Data Management Support Proposed for 2016 Based on Resources available – Annual Data Analysis Workshops • With annual/regional meetings • Ensure all data analyzed in time & reported • Available for reporting and M&E – Other generated data sets • Farmers Participatory Variety Selection (FPVS) • SNP etc. will be maintained in respective customized repositories
  • 6. TL-III Data Management Support Available to Project Partners –Experimental Designing –Data Capture and BMS –Data Curation –Data Analysis • Phenotypic (GxE, Spatial etc) • Genotypic (GWAS, GS, Molecular Diversity etc) • Any other relevant to project –Help in Interpretation
  • 7. TL-III Data Management Socio-economic Data – Once data is made available – Questionnaire will be mapped to a spatial data base (aWhere or ARCWeb GIS) – Collected data will be cleaned & maintained at Dataverse
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  • 17. ICRISAT is a member of the CGIAR Consortium